Ethical awareness versus actual practices: Chinese doctoral students in AI-assisted academic writing

Abstract Despite artificial intelligence (AI)’s transformative impact on education, empirical work on students’ ethical awareness and actual practices when navigating AI-related dilemmas remains scarce. This study examined 25 Chinese doctoral students across disciplines via an AI-assisted simulated literature review task, two qualitative surveys, and student-AI dialogues. Key findings: (1) Most demonstrated AI ethics awareness but focused on system-related concerns over self-relevant issues (e.g. eroded autonomy, blurred authorship). (2) All students used AI in at least one writing phase (literature understanding, synthesis, drafting, and editing) for one or more purposes (conceptual, rhetorical, or linguistic support). Faced with ‘disclose or not’ dilemma, most opted for partial disclosure in editable text. Individual variation was however observed in distributed agency and disclosure extent. (3) Discrepancies were identified between students’ stated ethical beliefs and actual behavior when navigating ethical dilemmas. Pedagogical implications were discussed including an advocate for creating safe havens for students to experiment AI-use and negotiate context-specific ethics.

Authors

Publication Details

Journal
Applied Linguistics
Published
2026-01-29
DOI
https://doi.org/10.1093/applin/amag013
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ethical awareness versus actual practices: Chinese doctoral students in AI-assisted academic writing

Haiying Feng, Kexin Li
Applied Linguistics
Artificial Intelligence in Healthcare and Education
article

Ethical awareness versus actual practices: Chinese doctoral students in AI-assisted academic writing

Haiying Feng, Kexin Li
article en

Abstract

Abstract Despite artificial intelligence (AI)’s transformative impact on education, empirical work on students’ ethical awareness and actual practices when navigating AI-related dilemmas remains scarce. This study examined 25 Chinese doctoral students across disciplines via an AI-assisted simulated literature review task, two qualitative surveys, and student-AI dialogues. Key findings: (1) Most demonstrated AI ethics awareness but focused on system-related concerns over self-relevant issues (e.g. eroded autonomy, blurred authorship). (2) All students used AI in at least one writing phase (literature understanding, synthesis, drafting, and editing) for one or more purposes (conceptual, rhetorical, or linguistic support). Faced with ‘disclose or not’ dilemma, most opted for partial disclosure in editable text. Individual variation was however observed in distributed agency and disclosure extent. (3) Discrepancies were identified between students’ stated ethical beliefs and actual behavior when navigating ethical dilemmas. Pedagogical implications were discussed including an advocate for creating safe havens for students to experiment AI-use and negotiate context-specific ethics.

Applied Linguistics
Quality Education
Openalex Percentile: Top 51%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.